Evidence map›Paper›PMID 42015115›Full record

ArticleBMC nursing2026

The mediating role of deep learning approach between the proactive personality and innovative behavior of undergraduate nursing students.

Qing Guan, Lina Meng

Abstract read
In one paragraph

Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Qing GuanPublic Foreign Language Teaching and Research Department, Harbin Medical University, Daqing Campus, Daqing, Heilongjiang Province, 163319, China.
Lina MengDepartment of nursing, Harbin Medical University, Daqing Campus, No.39 Xinyang Road, Gaoxin District, Daqing, Heilongjiang Province, 163319, China. pangchenchen6@163.com.

Funding

General project of medical education research, Chinese MedicalAssociation Medical Education Branch 2020B-N11225Heilongjiang Province higher education teaching reform research general project SJGY20210551
6 · The paper itself

Abstract

backgroundThe proactive personality of nursing students is considered a key factor in fostering innovative behaviors, which are essential for the advancement of nursing practice and research. However, the mechanism through which a proactive personality influences innovative behavior is not well understood. Deep learning approach, characterized by critical thinking and engagement with complex concepts, is posited as a potential mediator.

objectivesThis study aims to explore the relationship between proactive personality and innovative behavior among undergraduate nursing students and to determine the mediating effect of deep learning approach in this relationship.

methodsA cross-sectional survey design was utilized for this study. Data were collected from a convenience sample of 1885 valid undergraduate nursing students using validated scales to measure proactive personality, deep learning approach, and innovative behavior. The survey was administered electronically from March to May in 2024. The hypothesized mediating role of deep learning approach was tested using PROCESS with SPSS software.

resultsThe results indicated that undergraduate nursing students’ proactive personality was found to have a significant positive correlation with their deep learning approach (r = 0.861, p < 0.001) and innovative behavior (r = 0.862, p < 0.001). Positive associations were found between deep learning approach and innovative behavior (r = 0.843, p < 0.001). Deep learning approach played a 38.98% mediation effect between proactive personality and innovative behavior.

conclusionThe study provides evidence for the mediating role of deep learning approach in the relationship between proactive personality and innovative behavior among undergraduate nursing students. These findings underscore the importance of educational strategies that promote deep learning approach to enhance the innovative potential of nursing students.

Indexed as

Deep learning approachInnovative behaviorMediationProactive personalityUndergraduate nursing students

Identifiers

PMID42015115
PMCPMC13235099

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.